sranik

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skin-lesion-ensemble

like 0

• "__builtin__.set",
• "timm.layers.format.Format",
• "timm.layers.activations.GELU",
• "collections.OrderedDict",
• "numpy.ndarray",
• "timm.layers.adaptive_avgmax_pool.SelectAdaptivePool2d",
• "sklearn.linear_model._logistic.LogisticRegression",
• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "timm.layers.norm.LayerNorm2d",
• "timm.layers.patch_embed.PatchEmbed",
• "timm.layers.norm.LayerNorm",
• "_codecs.encode",
• "torch.nn.modules.linear.Linear",
• "timm.models.vision_transformer.Block",
• "torch.nn.modules.container.Sequential",
• "timm.layers.mlp.GlobalResponseNormMlp",
• "timm.models.vision_transformer.VisionTransformer",
• "torch._utils._rebuild_tensor_v2",
• "timm.models.convnext.ConvNeXt",
• "torch.FloatStorage",
• "timm.models.convnext.ConvNeXtBlock",
• "numpy.core.multiarray._reconstruct",
• "torch.nn.modules.conv.Conv2d",
• "timm.models.convnext.ConvNeXtStage",
• "torch.nn.modules.dropout.Dropout",
• "timm.layers.attention.Attention",
• "torch._utils._rebuild_parameter",
• "timm.layers.classifier.NormMlpClassifierHead",
• "numpy.dtype",
• "timm.layers.grn.GlobalResponseNorm",
• "torch.nn.modules.flatten.Flatten",
• "__main__.StackedEnsemble",
• "timm.layers.mlp.Mlp",
• "torch.nn.modules.linear.Identity",
• "torch.nn.modules.activation.GELU",
• "timm.models.vision_transformer.LayerScale"

How to fix it?

• "numpy.ndarray",
• "numpy.core.multiarray._reconstruct",
• "sklearn.linear_model._logistic.LogisticRegression",
• "numpy.dtype"

How to fix it?